This course explores Microsoft Azure’s AzureML service offering for students that are either new to machine learning or new to Azure. The course starts with an introduction to various aspects of building and “experiments” in AzureML and using MLStudio to create cohesive machine learning workflows.
Each topic looks at different aspects of AzureML as well as introduces different concepts in machine learning such as regression, clustering and classification and when you would use each. The course moves onto more advanced topics such as how the R language can be used to enrich AzureML as well as being able to define neural networks and lastly how to integrate into more complex data orchestrations involving other services in Azure.
Module 1: Introduction to AzureML and MLStudio
Module 2: Reading and Writing Data
Module 3: Manipulating Data
Module 4: Statistical Analysis
Module 5: Testing and training data with Regression and Classification
Module 6: Unsupervised learning with K-Means clustering
Module 7: Collaborative Filtering with AzureML